Update README.md

README.md

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 pinned: false
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-Multilingual language models are typically large, requiring significant computational resources.
+Multilingual language models have many deployment challenges.
 ![Deployment Challenges](DeploymentChallenges.png)
 
 Can we create multilingual models that maintain performance comparable to their larger models while reducing size, latency and inference speeds running in production with huge batch sizes?